数字时代的政府:探索数字化转型对政府效率的影响

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-09-03 DOI:10.1016/j.techfore.2024.123722
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引用次数: 0

摘要

本研究引入了一个新颖的生产网络模型来分析数字化转型如何影响政府内部的不同部门。与以往研究通常将数字政府视为一个单一实体不同,我们的方法剖析了数字化转型对政府各部门的具体影响,以及它们对政府整体效率的贡献。通过采用文本分析和实证模型,我们评估了 2012 年至 2022 年政府各部门的数字化转型程度,发现这种转型提高了政府效率。此外,我们的研究结果还强调了协调的数字化转型工作在提高整体效率方面的关键作用。这项研究不仅为理解数字政府提供了全新的理论框架,还为优化资源配置和制定数字计划战略以推动政府进步提供了可行的建议。
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Government in the digital age: Exploring the impact of digital transformation on governmental efficiency

This study introduces a novel production network model to analyze how digital transformation influences different sectors within the government. Unlike previous research, which often views digital government as a singular entity, our approach dissects the specific impact of digital transformation on various government departments and their contributions to overall governmental efficiency. By employing text analysis and empirical models, we assess the degree of digital transformation across government departments from 2012 to 2022, revealing that such transformations enhance governmental efficiency. Furthermore, our findings highlight the critical role of coordinated digital transformation efforts in amplifying overall efficiency. This research not only provides a fresh theoretical framework for understanding digital government but also offers actionable recommendations for optimizing resource allocation and strategizing digital initiatives to drive governmental progress.

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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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